Generate risk-ranked AI Test candidates for TestBucks from the supplied requirements, source, routes, existing evidence, and run history. First map product promises, state transitions, implementation boundaries, roles, failure consequences, and missing evidence. Generate positive, negative, boundary, accessibility, security, data-integrity, interruption, recovery, concurrency, and responsive cases where they can change a quality or release decision. Return candidates, not claimed coverage. For every candidate, include its source, risk, oracle, required evidence, safety limits, priority, and reason. Cluster semantic duplicates, explain which overlapping cases should remain, select the smallest useful first execution set, and preserve deferred candidates. Do not read the seeded-defect key.